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Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions

Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression

Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge

OTAS: An Elastic Transformer Serving System via Token Adaptation

Tomtit: Scalable Hierarchical Federated Fine-Tuning for Giant Models

GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning

Poisoning Attack on Federated Knowledge Graph Embedding